Changmin Yan

16 papers receiving 245 citations

Peers

Changmin Yan
Comparison fields: 5 of 54
  • Applied Psychology 85
  • Neuropsychology and Physiological Psychology 9
  • Literature and Literary Theory 59
  • Health Informatics 5
  • Marketing 29
Replace Mija Shin with:
Mija Shin United States
Thomas I. Vaughan‐Johnston Canada
Alixe Lay United Kingdom
Reza Shabahang Iran
A. Marthe Möller Netherlands
Erin Ash United States
Anna Vazeou‐Nieuwenhuis United States
Rune Kristian Lundedal Nielsen Denmark
Jennifer Lewallen United States
Annabell Halfmann Germany
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Citations per year

Countries citing papers authored by Changmin Yan

Since Specialization
Citations

This map shows the geographic impact of Changmin Yan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Changmin Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changmin Yan more than expected).

Fields of papers citing papers by Changmin Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Changmin Yan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Changmin Yan. The network helps show where Changmin Yan may publish in the future.

Co-authors

The 8 scholars most cited alongside Changmin Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Changmin Yan Line = papers co-authored together Changmin Yan links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 202158
2 201055
3 201245
4 201023
5 201417
6 201516
7 202415
8 202410
9 20247
10 20244
11
Toward an Understanding of the Emotive Structure and Motivational Systems and Their Influence on the Processing of Strategic Health Messages
20083
12 20142
13 20251
14 20241
15 20231
16 20241
17 20250

About Changmin Yan

Changmin Yan is a scholar working on Applied Psychology, Social Psychology, Artificial Intelligence, Neuropsychology and Physiological Psychology and Literature and Literary Theory, having authored 17 papers that have together received 259 indexed citations. Recurring topics across this work include Behavioral Health and Interventions (4 papers), AI in Service Interactions (4 papers), Aging and Gerontology Research (3 papers), Digital Mental Health Interventions (3 papers), Media Influence and Health (3 papers), Child and Adolescent Psychosocial and Emotional Development (2 papers), Technology Use by Older Adults (2 papers) and Attachment and Relationship Dynamics (1 paper). The work is most often cited by research in Applied Psychology (85 citations), Neuropsychology and Physiological Psychology (9 citations), Literature and Literary Theory (59 citations), Health Informatics (5 citations) and Marketing (29 citations). Changmin Yan has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include James Price Dillard, Fuyuan Shen, Marcia Shade, Julie Blaskewicz Boron, Michael D. Hanus, Douglas Blanks Hindman, Gregory R. Bashford and Dipti Dev. Their work appears in journals such as Journal of Communication, International Journal of Environmental Research and Public Health, Frontiers in Public Health, Innovation in Aging and Health Communication.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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